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cece368d
编写于
11月 17, 2017
作者:
T
tensor-tang
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差异文件
Merge remote-tracking branch 'upstream/develop' into refine
上级
363f690d
00a51557
变更
9
隐藏空白更改
内联
并排
Showing
9 changed file
with
29 addition
and
22 deletion
+29
-22
cmake/cross_compiling/ios.cmake
cmake/cross_compiling/ios.cmake
+3
-5
cmake/external/openblas.cmake
cmake/external/openblas.cmake
+6
-7
cmake/external/warpctc.cmake
cmake/external/warpctc.cmake
+4
-0
doc/mobile/cross_compiling_for_android_cn.md
doc/mobile/cross_compiling_for_android_cn.md
+1
-1
doc/mobile/cross_compiling_for_ios_cn.md
doc/mobile/cross_compiling_for_ios_cn.md
+6
-6
doc/mobile/cross_compiling_for_raspberry_cn.md
doc/mobile/cross_compiling_for_raspberry_cn.md
+1
-1
paddle/cuda/include/hl_gpu.h
paddle/cuda/include/hl_gpu.h
+2
-0
paddle/operators/math/CMakeLists.txt
paddle/operators/math/CMakeLists.txt
+2
-2
paddle/trainer/Trainer.cpp
paddle/trainer/Trainer.cpp
+4
-0
未找到文件。
cmake/cross_compiling/ios.cmake
浏览文件 @
cece368d
...
...
@@ -76,11 +76,9 @@ set(IOS_PLATFORM ${IOS_PLATFORM} CACHE STRING "Type of iOS Platform")
# Set the architecture for iOS
if
(
NOT DEFINED IOS_ARCH
)
if
(
IOS_PLATFORM STREQUAL
"OS"
)
# FIXME(liuyiqun): support "armv7;armv7s;arm64" future
set
(
IOS_ARCH
"arm64"
)
set
(
IOS_ARCH
"armv7;armv7s;arm64"
)
elseif
(
IOS_PLATFORM STREQUAL
"SIMULATOR"
)
# FIXME(liuyiqun): support "i386;x86_64" future
set
(
IOS_ARCH
"x86_64"
)
set
(
IOS_ARCH
"i386;x86_64"
)
endif
()
endif
()
set
(
CMAKE_OSX_ARCHITECTURES
${
IOS_ARCH
}
CACHE string
"Build architecture for iOS"
)
...
...
@@ -248,7 +246,7 @@ set(IOS_COMPILER_FLAGS "${XCODE_IOS_PLATFORM_VERSION_FLAGS} ${XCODE_IOS_BITCODE_
# Hidden visibilty is required for cxx on iOS
set
(
CMAKE_C_FLAGS
"
${
IOS_COMPILER_FLAGS
}
${
CMAKE_C_FLAGS
}
"
CACHE STRING
"C flags"
)
set
(
CMAKE_CXX_FLAGS
"
${
IOS_COMPILER_FLAGS
}
-fvisibility-inlines-hidden
${
CMAKE_CXX_FLAGS
}
"
CACHE STRING
"CXX flags"
)
set
(
CMAKE_CXX_FLAGS
"
${
IOS_COMPILER_FLAGS
}
-fvisibility
=hidden -fvisibility
-inlines-hidden
${
CMAKE_CXX_FLAGS
}
"
CACHE STRING
"CXX flags"
)
set
(
IOS_LINK_FLAGS
"
${
XCODE_IOS_PLATFORM_VERSION_FLAGS
}
-Wl,-search_paths_first"
)
...
...
cmake/external/openblas.cmake
浏览文件 @
cece368d
...
...
@@ -45,15 +45,14 @@ IF(NOT ${CBLAS_FOUND})
SET
(
OPTIONAL_ARGS
${
OPTIONAL_ARGS
}
TARGET=ARMV8 BINARY=64 USE_THREAD=0
)
ENDIF
()
ELSEIF
(
IOS
)
# FIXME(liuyiqun): support multiple architectures
SET
(
OPENBLAS_COMMIT
"b5c96fcfcdc82945502a2303116a64d89985daf5"
)
SET
(
OPENBLAS_CC
"
${
OPENBLAS_CC
}
${
CMAKE_C_FLAGS
}
-isysroot
${
CMAKE_OSX_SYSROOT
}
"
)
IF
(
CMAKE_OSX_ARCHITECTURES MATCHES
"armv7"
)
SET
(
OPENBLAS_CC
"
${
OPENBLAS_CC
}
-arch armv7"
)
SET
(
OPTIONAL_ARGS
${
OPTIONAL_ARGS
}
TARGET=ARMV7 ARM_SOFTFP_ABI=1 USE_THREAD=0
)
ELSEIF
(
CMAKE_OSX_ARCHITECTURES MATCHES
"arm64"
)
IF
(
CMAKE_OSX_ARCHITECTURES MATCHES
"arm64"
)
SET
(
OPENBLAS_COMMIT
"b5c96fcfcdc82945502a2303116a64d89985daf5"
)
SET
(
OPENBLAS_CC
"
${
OPENBLAS_CC
}
${
CMAKE_C_FLAGS
}
-isysroot
${
CMAKE_OSX_SYSROOT
}
"
)
SET
(
OPENBLAS_CC
"
${
OPENBLAS_CC
}
-arch arm64"
)
SET
(
OPTIONAL_ARGS
${
OPTIONAL_ARGS
}
TARGET=ARMV8 BINARY=64 USE_THREAD=0 CROSS_SUFFIX=
${
CROSS_SUFFIX
}
)
ELSE
()
MESSAGE
(
FATAL_ERROR
"OpenBLAS only support arm64 architectures on iOS. "
"You can set IOS_USE_VECLIB_FOR_BLAS=ON or USE_EIGEN_FOR_BLAS=ON to use other blas library instead."
)
ENDIF
()
ELSEIF
(
RPI
)
# use hardfp
...
...
cmake/external/warpctc.cmake
浏览文件 @
cece368d
...
...
@@ -12,6 +12,10 @@
# See the License for the specific language governing permissions and
# limitations under the License.
IF
(
MOBILE_INFERENCE
)
return
()
ENDIF
()
INCLUDE
(
ExternalProject
)
SET
(
WARPCTC_SOURCES_DIR
${
THIRD_PARTY_PATH
}
/warpctc
)
...
...
doc/mobile/cross_compiling_for_android_cn.md
浏览文件 @
cece368d
#
构建Android平台上的PaddlePaddle库
#
Android平台编译指南
用户可通过如下两种方式,交叉编译Android平台上适用的PaddlePaddle库:
-
基于Docker容器的编译方式
...
...
doc/mobile/cross_compiling_for_ios_cn.md
浏览文件 @
cece368d
#
构建iOS平台上的PaddlePaddle库
#
iOS平台编译指南
交叉编译iOS平台上适用的PaddlePaddle库,需要在MacOS系统上进行。本文的将介绍在MacOS上,从源码交叉编译iOS平台上适用的PaddlePaddle库。
## 准备交叉编译环境
...
...
@@ -25,7 +25,7 @@ iOS平台可选配置参数:
-
`IOS_PLATFORM`
,可设置为
`OS/SIMULATOR`
,默认值为
`OS`
。
-
`OS`
,构建目标为
`arm`
架构的iPhone或者iPad等物理设备。
-
`SIMULATOR`
,构建目标为
`x86`
架构的模拟器平台。
-
`IOS_ARCH`
,目标架构。针对不同的
`IOS_PLATFORM`
,可设置的目标架构如下表所示:
-
`IOS_ARCH`
,目标架构。针对不同的
`IOS_PLATFORM`
,可设置的目标架构如下表所示
,默认编译所有架构
:
<table class="docutils">
<colgroup>
...
...
@@ -41,11 +41,11 @@ iOS平台可选配置参数:
<tbody valign="top">
<tr class="row-even">
<td>OS</td>
<td>armv7, armv7s, arm64
(默认)
</td>
<td>armv7, armv7s, arm64 </td>
</tr>
<tr class="row-odd">
<td>SIMULATOR</td>
<td>i386, x86_64
(默认)
</td>
<td>i386, x86_64 </td>
</tr>
</tbody>
</table>
...
...
@@ -66,7 +66,7 @@ iOS平台可选配置参数:
```
bash
cmake
-DCMAKE_SYSTEM_NAME
=
iOS
\
-DIOS_PLATFORM
=
OS
\
-DIOS_ARCH
=
"arm64"
\
-DIOS_ARCH
=
"arm
v7;arm
64"
\
-DIOS_ENABLE_BITCODE
=
ON
\
-DIOS_USE_VECLIB_FOR_BLAS
=
ON
\
-DCMAKE_INSTALL_PREFIX
=
your/path/to/install
\
...
...
@@ -112,6 +112,6 @@ $ make install
-
`lib`
目录,其中包含PaddlePaddle的C-API静态库
-
`third_party`
目录,其中包含所依赖的所有第三方库
注意,
不同架构的PaddlePaddle库建议安装到不同的目录下,然后使用
`lipo`
工具将多个静态库合并成一个支持多个架构的
fat库。
注意,
如果PaddlePaddle库需要同时支持真机和模拟器,则需要分别编译真机和模拟器版本,然后使用
`lipo`
工具合并
fat库。
自此,PaddlePaddle库已经安装完成,用户可将合成的fat库用于深度学习相关的iOS App中,调用方法见C-API文档。
doc/mobile/cross_compiling_for_raspberry_cn.md
浏览文件 @
cece368d
#
构建Raspberry Pi平台上的PaddlePaddle库
#
Raspberry Pi平台编译指南
通常有两个方法来构建基于 Rasspberry Pi 的版本:
...
...
paddle/cuda/include/hl_gpu.h
浏览文件 @
cece368d
...
...
@@ -25,7 +25,9 @@ limitations under the License. */
#include "hl_matrix.h"
#include "hl_sequence.h"
#include "hl_sparse.h"
#ifndef PADDLE_MOBILE_INFERENCE
#include "hl_warpctc_wrap.h"
#endif
#ifdef HPPL_STUB_FUNC
#include "stub/hl_aggregate_stub.h"
...
...
paddle/operators/math/CMakeLists.txt
浏览文件 @
cece368d
add_subdirectory
(
detail
)
if
(
WITH_GPU
)
nv_library
(
math_function SRCS math_function.cc math_function.cu im2col.cc im2col.cu DEPS cblas device_context
)
nv_library
(
math_function SRCS math_function.cc math_function.cu im2col.cc im2col.cu DEPS cblas device_context
framework_proto
)
nv_test
(
math_function_gpu_test SRCS math_function_test.cu DEPS math_function tensor
)
nv_library
(
selected_rows_functor SRCS selected_rows_functor.cc selected_rows_functor.cu DEPS selected_rows math_function
)
nv_test
(
selected_rows_functor_gpu_test SRCS selected_rows_functor_test.cu DEPS selected_rows_functor
)
...
...
@@ -15,7 +15,7 @@ if(WITH_GPU)
nv_library
(
lstm_compute SRCS lstm_compute.cc lstm_compute.cu DEPS device_context activation_functions
)
nv_library
(
gru_compute SRCS gru_compute.cc gru_compute.cu DEPS device_context activation_functions math_function
)
else
()
cc_library
(
math_function SRCS math_function.cc im2col.cc DEPS cblas device_context
)
cc_library
(
math_function SRCS math_function.cc im2col.cc DEPS cblas device_context
framework_proto
)
cc_library
(
selected_rows_functor SRCS selected_rows_functor.cc DEPS selected_rows math_function
)
cc_library
(
softmax SRCS softmax.cc DEPS device_context
)
cc_library
(
cross_entropy SRCS cross_entropy.cc DEPS device_context
)
...
...
paddle/trainer/Trainer.cpp
浏览文件 @
cece368d
...
...
@@ -137,6 +137,10 @@ void Trainer::init(const std::shared_ptr<TrainerConfigHelper>& config,
}
}
if
(
FLAGS_use_mkldnn
)
{
CHECK_EQ
(
FLAGS_trainer_count
,
1UL
)
<<
"MKLDNN only need 1 trainer"
;
}
if
(
testing
)
{
LOG
(
INFO
)
<<
"trainer: in testing mode"
;
if
(
config_
->
getOptConfig
().
use_sparse_remote_updater
()
||
...
...
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